Santanu Kumar Sahoo

Biomedical Signal Processing for Community Health

Sheuli Sen, Santanu Kumar Sahoo, M.M. Rekha, H. Jemmy Christy et autres

Biomedical signal processing entails the acquisition and preprocessing of physiological signals, followed by information retrieval to analyze signals for patterns and trends. Sources of biomedical signals are neural signals, cardiac rhythm, muscle movements, and normal activity signals. Research presents a novel framework, …

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Attention enhanced hybrid deep learning model with 1D-CNN and BiLSTM for automated sleep apnea detection

Bipasha Patnaik, Debasish Swapnesh Kumar Nayak, Santanu Kumar Sahoo

Sleep Apnea (SA) is an alarming sleep disorder characterized by repeated cessation of breathing during sleep, which frequently results in severe cardiovascular and metabolic impairment. The traditional techniques, such as polysomnography, are time-consuming, costly, and require clinical supervision. To address these challenges, …

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aiGeneR 3.0: an enhanced deep network model for resistant strain identification and multi-drug resistance prediction in Escherichia coli causing urinary tract infection using next-generation sequencing data

Debasish Swapnesh Kumar Nayak, Abhilash Pati, Amrutanshu Panigrahi, Mudassir Khan et autres

Background Infectious diseases pose a global health threat, with antimicrobial resistance (AMR) exacerbating the issue. Considering Escherichia coli ( E. coli ) is frequently linked to urinary tract infections, researching antibiotic resistance genes in this context is essential for identifying and combating …

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Development of an intelligent streetlight control system for energy optimization in urban environments

Yamanappa, Varun Ojha, Santanu Kumar Sahoo, M. P. Sunil

The rapid development of urban areas has considerably increased energy spending, particularly in street lighting system. Traditional streetlight managing method often lack optimization, leading to inefficiencies and higher operational costs. This research proposes an Intelligent Streetlight Control System (ISCS) to enhance energy …

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Enhancing resilience in mobile ad hoc networks: deluge attack mitigation via machine learning based anomaly detection

A. Sharath Kumar, Santanu Kumar Sahoo, Mithhil Arora, Ramachandran Thulasiram et autres

Mobile Ad Hoc Networks (MANETs) face multiple security threats, with deluge attacks emerging as a particular threat to network performance. These conventional measures frequently fail in detecting or combating such attacks, considering the dynamic and decentralized nature of MANETs. A Deluge Attack …

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12910 Robust sparse representation in octonion space for multimodal image processing

Santanu Kumar Sahoo, Ahmadi Begum, Yogesh Jadhav

Multimodal image processing is challenged by heterogeneous data characteristics, such as varying noise levels, resolutions, and structural complexities. Sparse representation techniques have proven effective in reducing computational burden, while maintaining meaningful data features; yet, traditional models often struggle with robustness and scalability. …

Optimal User Scheduling for Downlink Multi-User MIMO Systems Using Convolutional Neural Networks

Madhur Grover, R Shalini, Ramamurthy Ketha, Pavan Chaudhary et autres

Multi-user Generalized MIMO: Capacity and Performance Improvements, 99th European Wireless Conference, 2023. A practically crucial challenge for MIMO systems is the implementation of a user scheduling that selects only a subset of users for service at each time slot. These traditional user …

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ARGai 2.0: A Feature Engineering Enabled Deep Network Model for Antibiotic Resistance Gene and Strain Identification in E. coli

Debasish Swapnesh Kumar Nayak, Arpita Priyadarshini, Sweta Padma Routray, Santanu Kumar Sahoo et autres

Escherichia coli (E. coli) is a group of bacteria that cause infections in the gastrointestinal (GI) tract and urinary tract (UTIs). The rise in antimicrobial resistance (AMR) due to antibioticresistant genes (ARGs) linked to E. coli strains that cause UTIs poses a …

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ARGai 1.0: A GAN augmented in silico approach for identifying resistant genes and strains in E. coli using vision transformer

Debasish Swapnesh Kumar Nayak, Ruchika Das, Santanu Kumar Sahoo, Tripti Swarnkar

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AI-Powered Knowledge Graphs for Efficient Medical Information Retrieval and Decision Support

Santanu Kumar Sahoo, Varun Ojha, Vaibhav Kaushik, Manti Debnath et autres

The enormous volume of medical data has resulted in the development of sophisticated systems that facilitate information search and enable clinicians in decision-making process. Driven by artificial intelligence, knowledge graphs (KGs) provide a solid structure for organising and evaluating vast volumes of …

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Multichannel ECG-Based Heart Disease Detection with ResNet-50 and Decision-Tree Classifier

Bipasha Patnaik, Debasish Swapnesh Kumar Nayak, Santanu Kumar Sahoo

The Electrocardiogram (ECG) is a non-invasive, cost-effective diagnostic technique for diagnosing cardiac diseases that monitors the heart's electrical activity. ECG signal interpreting is challenging due to noise, distortions, and patient variability resulting in delays, and errors in diagnosing heart disorders. The objective …

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HFai: Deep Networks for Detecting Heart Failure Progression

Bipasha Patnaik, Debasish Swapnesh Kumar Nayak, Santanu Kumar Sahoo

Heart Failure affects millions worldwide, and early identification is crucial to prevent serious complications. Current diagnostic approaches depend mostly on human interpretation and are frequently inaccurate. Artificial Intelligence models are efficient for estimating heart failure progression since they provide healthcare professionals with …

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